Job Choice Under Crisis Conditions: Differences in Motivational Systems and Job-Attribute Preferences of Young Adults

Abstract

The COVID-19 pandemic delivered a fundamental shock that significantly impacted individual working conditions and increased job insecurity across numerous occupations and industries. Against this background, this study analyzes how two basic motivational systems, the behavioral activation system (BAS) and behavioral inhibition system (BIS), which shape human responses to (perceived) threats, influence the formation of job-attribute preferences. BIS and BAS have been shown to impact human decision-making and behavior in many different domains pervasively. However, despite their fundamental nature, they have remained understudied as possible deep-level influences on the formation of occupational preferences of young people about to choose a job to embark on. We address this research gap by applying an adaptive choice-based conjoint experiment based on a sample of 1,005 young adults. Results show that the perceived relative importance of significant job attributes in a crisis-ridden environment is related to the sensitivity of specific BIS and BAS subscales.

Keywords

behavioral inhibition system behavioral activation system job decision-making job-attribute preferences job choice crisis

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References

Akkermans

Richardson

Kraimer

M. L.

(2020). The Covid-19 crisis as a career shock: Implications for careers and vocational behavior. Journal of Vocational Behavior, 119, 103434. https://doi.org/10.1016/j.jvb.2020.103434

Akosah-Twumasi

Emeto

T. I.

Lindsay

Tsey

Malau-Aduli

B. S.

(2018). A systematic review of factors that influence youths career choices—the role of culture. Frontiers in Education, 3(58), 1–15. https://doi.org/10.3389/feduc.2018.00058

Baum

Kabst

(2013). Conjoint implications on job preferences: The moderating role of involvement. International Journal of Human Resource Management, 24(7), 1393–1417. https://doi.org/10.1080/09585192.2012.712542

Becker

K. L.

(2022). We want connection and we do not mean wi-fi: examining the impacts of Covid-19 on Gen Z’s work and employment outcomes. Management Research Review, 45(5), 684–699. https://doi.org/10.1108/MRR-01-2021-0052

Bernerth

J. B.

Aguinis

(2016). A critical review and best-practice recommendations for control variable usage. Personnel Psychology, 69(1), 229–283. https://doi.org/10.1111/peps.12103

Binkley

Erstad

Herman

Raizen

Ripley

Miller-Ricci

Rumble

(2012). Defining twenty-first century skills. In Assessment and teaching of 21st century skills (pp. 17–66). Springer. https://doi.org/10.1007/978-94-007-2324-5_2

Carver

C. S.

White

T. L.

(1994). Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: The BIS/BAS scales. Journal of Personality and Social Psychology, 67(2), 319–333. https://doi.org/10.1037/0022-3514.67.2.319

Chapman

C. N.

Alford

J. L.

Johnson

Weidemann

Lahav

(2009). CBC vs. ACBC: Comparing results with real product selection. In 2009 Sawtooth software conference proceedings (pp. 25–27). Sawtooth Software.

Corr

P. J.

Mutinelli

(2017). Motivation and young people’s career planning: A perspective from the reinforcement sensitivity theory of personality. Personality and Individual Differences, 106, 126–129. https://doi.org/10.1016/j.paid.2016.10.043

10.

Dawis

R. V.

Lofquist

L. H.

(1984). A psychological theory of work adjustment: An individual-differences model and its applications. University of Minnesota Press.

11.

Evertz

Süß

(2017). The importance of individual differences for applicant attraction: A literature review and avenues for future research. Management Review Quarterly, 67(3), 141–174. https://doi.org/10.1007/s11301-017-0126-2

12.

Franchina

Klackl

Jonas

(2023). The reinforcement sensitivity theory affects questionnaire (RST-AQ). A validation study of a new scale targeting affects related to anxiety, approach motivation and fear. Current Psychology, 43(6), 5193–5205. https://doi.org/10.1007/s12144-023-04623-z

13.

Frey

C. B.

Osborne

M. A.

(2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254–280. https://doi.org/10.1016/j.techfore.2016.08.019

14.

Furnham

Jackson

(2008). Reinforcement sensitivity in the workplace: BIS/BAS in business. In Corr

(Ed.), The reinforcement sensitivity theory of personality (pp. 431–452). Cambridge University Press. https://doi.org/10.1017/CBO9780511819384.016

15.

Geenen

N. Y.

Urbig

Muehlfeld

van Witteloostuijn

Gargalianou

(2016). BIS and BAS: Biobehaviorally rooted drivers of entrepreneurial intent. Personality and Individual Differences, 95, 204–213. https://doi.org/10.1016/j.paid.2016.02.023

16.

Gerlitz

J. Y.

Schupp

(2005). Zur Erhebung der big-five-basierten persönlichkeitsmerkmale im SOEP. DIW Research Notes, 4(10.1016). DIW Berlin.

17.

Gilli

Nippa

Knappstein

(2022). Leadership competencies for digital transformation: An exploratory content analysis of job advertisements. German Journal of Human Resource Management, 37(1), 50–75. https://doi.org/10.1177/23970022221087252

18.

Gottfredson

L. S.

Becker

H. J.

(1981). A challenge to vocational psychology: How important are aspirations in determining male career development? Journal of Vocational Behavior, 18(2), 121–137. https://doi.org/10.1016/0001-8791(81)90001-4

19.

Gray

J. A.

(1970). The psychophysiological basis of introversion–extraversion. Behavior Research and Therapy, 8(3), 249–266. https://doi.org/10.1016/0005-7967(70)90069-0

20.

Gray

J. A.

(1982). The neuropsychology of anxiety: An enquiry into the functions of the septo-hippocampal system. Oxford University Press.

21.

Gray

J. A.

McNaughton

(2000). The neuropsychology of anxiety: An enquiry into the functions of the septo-hippocampal system (2nd ed.). Oxford University Press.

22.

Gray

J. D.

Hanna

Gillen

Rushe

(2016). A closer look at Carver and White’s BIS/BAS scales: Factor analysis and age group differences. Personality and Individual Differences, 95, 20–24. https://doi.org/10.1016/j.paid.2016.02.022

23.

Hackman

J. R.

Oldham

G. R.

(1975). Development of the job diagnostic survey. Journal of Applied Psychology, 60(2), 159–170. https://doi.org/10.1037/h0076546

24.

Heym

Ferguson

Lawrence

(2008). An evaluation of the relationship between Gray’s revised RST and Eysenck’s PEN: Distinguishing BIS and FFFS in Carver and White’s BIS/BAS scales. Personality and Individual Differences, 45(8), 709–715. https://doi.org/10.1016/j.paid.2008.07.013

25.

Hoppe

Keller

Horstmann

(2021). Got employer image? How applicants choose their employer. Corporate Reputation Review, 25(2), 139–159. https://doi.org/10.1057/s41299-021-00119-3

26.

Jackson

C. J.

Hobman

E. V.

Jimmieson

N. L.

Martin

(2009). Comparing different approach and avoidance models of learning and personality in the prediction of work, university, and leadership outcomes. British Journal of Psychology, 100(Pt 2), 283–312. https://doi.org/10.1348/000712608X322900

27.

John

O. P.

Donahue

E. M.

Kentle

R. L.

(1991). Big Five Inventory (BFI). APA PsycTests.

28.

Lent

R. W.

Brown

S. D.

Hackett

(1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of Vocational Behavior, 45(1), 79–122. https://doi.org/10.1006/jvbe.1994.1027

29.

Lent

R. W.

Hackett

(1987). Career self-efficacy: Empirical status and future directions. Journal of Vocational Behavior, 30(3), 347–382. https://doi.org/10.1016/0001-8791(87)90010-8

30.

Guan

Wang

Zhou

Guo

Jiang

Fang

(2015). Big-five personality and BIS/BAS traits as predictors of career exploration: The mediation role of career adaptability. Journal of Vocational Behavior, 89, 39–45. https://doi.org/10.1016/j.jvb.2015.04.006

31.

Morar

Tiba

Basarin

Vujičić

Valjarević

Niemets

Gessert

Jovanovic

Drugas

Grama

Stupariu

Stoica

Lukić

(2021). Predictors of changes in travel behavior during the COVID-19 pandemic: The role of tourists’ personalities. International Journal of Environmental Research and Public Health, 18(21), 11169. https://doi.org/10.3390/ijerph182111169

32.

Non

Rohde

de Grip

Dohmen

(2022). Mission of the company, prosocial attitudes and job preferences: A discrete choice experiment. Labour Economics, 74, 102087. https://doi.org/10.1016/j.labeco.2021.102087

33.

Orme

B. K.

(2010). Getting started with conjoint analysis: Strategies for product design and pricing research (3rd ed.). Research Publishers.

34.

Parola

(2020). Novel coronavirus outbreak and career development: A narrative approach into the meaning for Italian university graduates. Frontiers in Psychology, 11, 2255. https://doi.org/10.3389/fpsyg.2020.02255

35.

Petry

Treisch

Bullinger

(2020). The logic of attraction: Exploring the institutional complexity of job preferences. Employee Relations: The International Journal, 42(6), 1465–1485. https://doi.org/10.1108/ER-09-2019-0373

36.

Petry

Treisch

Peters

(2022). Designing job ads to stimulate the decision to apply: A discrete choice experiment with business students. International Journal of Human Resource Management, 33(15), 3019–3055. https://doi.org/10.1080/09585192.2021.1891112

37.

Radermacher

Schneider

M. R.

Iseke

Tebbe

(2017). Signalling to young knowledge workers through architecture? A conjoint analysis. German Journal of Human Resource Management, 31(1), 71–93. https://doi.org/10.1177/2397002216676038

38.

Renn

R. W.

Steinbauer

Fenner

(2014). Employee behavioral activation and behavioral inhibition systems, manager ratings of employee job performance, and employee withdrawal. Human Performance, 27(4), 347–371. https://doi.org/10.1080/08959285.2014.929694

39.

Ronda

Abril

Valor

(2020). Job choice decisions: Understanding the role of nonnegotiable attributes and trade-offs in effective segmentation. Management Decision, ahead-of-print(ahead-of-print), 1546–1561. https://doi.org/10.1108/MD-10-2019-1472

40.

Rudolph

C. W.

Zacher

(2020). COVID-19 and careers: On the futility of generational explanations. Journal of Vocational Behavior, 119, 103433. https://doi.org/10.1016/j.jvb.2020.103433

41.

Sawtooth Software . (2009). The CBC/HB system for hierarchical Bayes estimation version 5.0 technical paper. Sawtooth Software. https://sawtoothsoftware.com/resources/technical-papers/cbc-hb-technical-paper

42.

Schwarzer

Jerusalem

(1995). Generalized self-efficacy scale. In Weinman

Wright

Johnston

(Eds.), Measures in health psychology: A user’s Portfolio. Causal and control beliefs (pp. 35–37). NFER-NELSON.

43.

Segarra

Poy

López

Moltó

(2014). Characterizing carver and white’s BIS/BAS subscales using the five factor model of personality. Personality and Individual Differences, 61-62, 18–23. https://doi.org/10.1016/j.paid.2013.12.027

44.

Strobel

Beauducel

Debener

Brocke

(2001). Eine deutschsprachige Version des BIS/BAS-Fragebogens von Carver und White. Zeitschrift für Differentielle und Diagnostische Psychologie, 22(3), 216–227. https://doi.org/10.1024//0170-1789.22.3.216

45.

Swider

B. W.

Zimmerman

R. D.

Charlier

S. D.

Pierotti

A. J.

(2015). Deep-level and surface-level individual differences and applicant attraction to organizations: A meta-analysis. Journal of Vocational Behavior, 88, 73–83. https://doi.org/10.1016/j.jvb.2015.01.005

46.

Turban

D. B.

Eyring

A. R.

Campion

J. E.

(1993). Job attributes: Preferences compared with reasons given for accepting and rejecting job offers. Journal of Occupational and Organizational Psychology, 66(1), 71–81. https://doi.org/10.1111/j.2044-8325.1993.tb00517.x

47.

Van den Bulte

Lilien

G. L.

(2001). Medical innovation revisited: Social contagion versus marketing effort. American Journal of Sociology, 106(5), 1409–1435. https://doi.org/10.1086/320819

48.

van der Linden

Taris

T. W.

Beckers

D. G.

Kindt

K. B.

(2007). Reinforcement sensitivity theory and occupational health: BAS and BIS on the job. Personality and Individual Differences, 42(6), 1127–1138. https://doi.org/10.1016/j.paid.2006.07.029

49.

Flores

L. Y.

(2023). A process model of career decision-making and adaptation under uncertainty: Expanding the dual-process theory of career decision-making. Journal of Career Assessment, 31(4), 773–793. https://doi.org/10.1177/10690727231161378

50.

Yang

Gysbers

N. C.

(2007). Career transitions of college seniors. The Career Development Quarterly, 56(2), 157–170. https://doi.org/10.1002/j.2161-0045.2007.tb00028.x